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À propos de ce poste Kubernetes Engineer chez Weekday AI

Weekday AI · Sur site · Hyderabad, Telangana, India

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟴𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟭𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟴-𝟮𝟭 𝗟𝗣𝗔)

Experience: 7+ yrs

Location: Hyderabad

Job Type: Full-time

We are looking for an experienced Kubernetes Engineer – Istio Specialist to design, implement, operate, and optimise cloud-native microservices platforms across AWS EKS and Oracle OKE environments.

The role requires strong hands-on expertise in Kubernetes, Istio, service mesh, cloud networking, security, automation, GitOps, and observability. The ideal candidate will have proven production experience managing Istio and Kubernetes platforms across complex, multi-cluster or multi-cloud environments.

Requirements

Key Responsibilities

  • Design, deploy, configure, manage, and scale Kubernetes clusters across AWS EKS and Oracle OKE.
  • Automate Kubernetes cluster provisioning and lifecycle management using Terraform, Helm, GitLab, Argo CD, Flux, or similar technologies.
  • Implement and maintain GitOps-based approaches for Kubernetes configuration and application deployments.
  • Optimise cluster performance, workload scheduling, autoscaling, node pools, resource utilisation, and platform reliability.
  • Design, deploy, and manage Istio Service Mesh in production Kubernetes environments.
  • Implement Istio across multi-cluster, multi-region, and multi-cloud architectures.
  • Configure advanced traffic management including canary releases, blue/green deployments, traffic splitting, retries, timeouts, fault injection, and circuit breaking.
  • Implement mTLS, zero-trust networking, authorization policies, and secure service-to-service communication.
  • Configure and manage Istio ingress and egress gateways.
  • Troubleshoot and optimise Envoy sidecars and proxy configurations.
  • Develop and maintain Istio resources including VirtualServices, DestinationRules, Gateways, and AuthorizationPolicies.
  • Design and implement Kubernetes networking, service discovery, ingress/egress, network policies, and secure communication patterns.
  • Work with AWS and OCI networking components including VPCs, subnets, load balancers, security groups, security lists, and NSGs.
  • Integrate service mesh environments with identity and authentication technologies such as OIDC, OAuth2, SPIFFE, and SPIRE.
  • Build observability solutions using Prometheus, Grafana, Kiali, Jaeger/Zipkin, AWS CloudWatch, and OCI Monitoring.
  • Define and monitor SLIs, SLOs, error budgets, alerts, latency, errors, and service reliability metrics.
  • Perform root-cause analysis and resolve production issues involving Kubernetes, Istio, networking, routing, connectivity, latency, and service-to-service communication.
  • Integrate Kubernetes and Istio configurations with CI/CD and GitOps pipelines.
  • Develop automation using Python, Bash, or Go to streamline platform and operational activities.
  • Build reusable platform capabilities and self-service solutions that improve developer productivity.
  • Collaborate with DevOps, SRE, Security, Application Engineering, and Cloud Infrastructure teams.

What Makes You a Great Fit

  • 7–9 years of experience in Kubernetes, Cloud Infrastructure, DevOps, SRE, Platform Engineering, or a related field.
  • Strong hands-on experience with Kubernetes platform engineering and production cluster operations.
  • Proven production experience designing, implementing, and managing Istio Service Mesh.
  • Strong expertise in AWS EKS and Oracle OKE architecture and operations.
  • Deep understanding of Envoy Proxy, service mesh architecture, and microservices communication patterns.
  • Strong experience with Terraform, Helm, Argo CD, Flux, GitOps, and YAML-based configuration management.
  • Strong understanding of Kubernetes and cloud networking, including VPC, CNI, DNS, service discovery, ingress/egress, network policies, and load balancers.
  • Hands-on experience implementing mTLS, zero-trust architecture, authentication, authorisation, and security policies.
  • Strong knowledge of observability tools including Prometheus, Grafana, Kiali, Jaeger/Zipkin, CloudWatch, or OCI Monitoring.
  • Good scripting and automation skills using Python, Bash, or Go.
  • Strong troubleshooting and root-cause analysis capabilities across Kubernetes, Istio, networking, and cloud infrastructure.
  • Experience supporting multi-cluster, multi-region, or multi-cloud service mesh environments is an advantage.
  • Knowledge of AWS App Mesh or OCI Service Mesh is a plus.
  • Familiarity with SPIFFE/SPIRE workload identity frameworks is preferred.
  • Experience with container and Kubernetes security tools such as Falco, Trivy, Aqua Security, or Prisma Cloud is an advantage.
  • Experience building platform engineering and developer self-service capabilities is preferred.
  • Certifications such as CKA, CKAD, CKS, AWS Solutions Architect, AWS DevOps Engineer, or OCI Architectare advantageous.
  • Strong communication, collaboration, ownership, and production-support skills with the ability to work effectively in a fast-paced engineering environment.
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